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Machine Learning Object Detection Jobs in Portland, OR

Marmon

Milling Machinist, 2nd Shift

Hillsboro, OR

$24 - $31.75/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Starts and observes machine operation to detect malfunctions or out-of-tolerance machining.

Nike

Software Engineer

Beaverton, OR · On-site

... machine learning (ML) capabilities within enterprise application environments. Support data pipelines and integrations that allow ML driven insights, such as data validation, anomaly detection ...

Orchid Orthopedic Solutions

Wax Operator

Oregon City, OR · On-site

$18.25 - $21.75/hr

Robotic wax assembly, internal tool and design, finished machining, polishing, and sintered bead ... Detect & report faulty equipment, defective material and any unusual conditions to the department ...

Orchid MPS Holdings, LLC

Wax Operator

Oregon City, OR · On-site

$18.25 - $21.75/hr

Robotic wax assembly, internal tool and design, finished machining, polishing, and sintered bead ... Detect & report faulty equipment, defective material and any unusual conditions to the department ...

Adidas

Computational Designer

Portland, OR

$21.75 - $26.50/hr

Experience with Object Oriented Programming. * Experience working with git and code collaboration ... Knowledge in Machine Learning. * International and domestic travel to footwear factories to ...

adidas

Computational Designer

Portland, OR

$21.75 - $26.50/hr

Experience with Object Oriented Programming. * Experience working with git and code collaboration ... Knowledge in Machine Learning. * International and domestic travel to footwear factories to ...

Amat

Algorithm Engineer III Senior - (E3)

Portland, OR · On-site +1

$140K - $192K/yr

... detection system for wafer inspection. Solutions are based on state-of-the-art algorithmic methodologies from the field of Image Processing and Computer Vision Machine/Deep learning. Create ...

PLEXSYS

Senior Software Engineer

Camas, WA · On-site

$117K - $148K/yr

Four (4) plus years of Professional Object-Oriented Software Design and Implementation Experience ... Experience utilizing Artificial Intelligence and Machine Learning technologies * Experience ...

PLEXSYS

Senior Software Engineer

Camas, WA

$134K - $177K/yr

Four (4) plus years of Professional Object-Oriented Software Design and Implementation Experience ... Experience utilizing Artificial Intelligence and Machine Learning technologies * Experience ...

Adidas

Computational Designer

Portland, OR · On-site

$21.75 - $26.50/hr

Experience with Object Oriented Programming. * Experience working with git and code collaboration ... Knowledge in Machine Learning. * International and domestic travel to footwear factories to ...

Serve Robotics

VP of Security

Vancouver, WA · On-site +1

$240K - $300K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... management, detection and response, secure software development, and infrastructure security.

Nvidia

Senior Verification Engineer, SoC

Hillsboro, OR · Hybrid

NVIDIA operates as a "learning machine," constantly adapting to new opportunities that only we can ... C++, Object-Oriented Programming, UVM, System Verilog. * Familiarity with verification challenges ...

Intel

Senior CPU Power Management Architect

Hillsboro, OR · On-site

$190K - $361K/yr

... detection and mitigation, droop mitigation, ICCMAX enforcement, reset flow architecture, Machine learning algorithms for power and performance, power delivery and power gating techniques, as well as ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Portland, OR

Machine Learning Object Detection information

See Portland, OR salary details

$33.4K

$136.6K

$205.2K

How much do machine learning object detection jobs pay per year?

As of Jul 18, 2026, the average yearly pay for machine learning object detection in Portland, OR is $136,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $164,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Portland, OR? For Machine Learning Object Detection jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Portland, OR look for? The top searched job categories for Machine Learning Object Detection jobs in Portland, OR are:
Machine Learning Object Detection jobs near you
Yield Development Engineering Manager-Strategic Programs

Yield Development Engineering Manager-Strategic Programs

INTEL

Portland, OR

$136K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

11th of 143 rated electronics manufacturers

Job description

Job Description

The Role and Impact
We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment.


You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity.


As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations.
Key Responsibilities
Strategic Leadership and Transformation:

  • Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows.

  • Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems.

  • Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites.

AI-Driven Productivity and Decision Intelligence:

  • Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis.

  • Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems.

  • Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations.

Operational Excellence and Yield Performance:

  • Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets.

  • Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply.

  • Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence.

Defect Metrology and Systems Leadership:

  • Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture.

  • Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation.

  • Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements

Program Execution and Stakeholder Influence:

  • Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams.

  • Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution.

  • Influence senior stakeholders and executives to align investments, priorities, and organizational focus.

Organization and Talent Leadership:

  • Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning.

  • Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency.

  • Champion a shift from individual based to scalable, system-driven excellence.


Qualifications
Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Other Locations
US, Phoenix
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
Position of Trust
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

What Intel employees say

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Benefits

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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